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Field
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indirect drivers in terrestrial and freshwater ecosystems through the integration of multi-sensor Earth observation (EO) data, innovative in situ data and products (including citizen science), as
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
. Recent updates to QFED include integration of fire products from new sensors (VIIRS), and a new multispectral approach for retrieving fire radiative power (FRP) for two phases of burning: flaming and
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Position Details Position Description Dr. Juming Tang’s group at the University of Washington has launched a new research program focused on developing novel sensors and AI tools to enhance the transparency
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, mineral, or biochemical analysis. •Use analytical equipment (pH meters, CO2 sensors, soil/root/plant sensors, chlorophyll fluorescence, etc.) and process samples using standard laboratory analytical
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to develop a probe for measurement of void fraction and velocity at prototypic reactor conditions. The work includes development of methods for manufacturing miniature sensors and using these sensors in
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of a next-generation turbidity meter (Arduino-based with radio communication to a central controller). * Develop and validate calibration methods for new sensors for turbidity and existing commercial
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Intelligence, as well as Detectors, Quantum Sensors and Accelerators The term of postdoctoral contracts is typically limited to three years. The salaries are internationally competitive and are typically 100
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). On-sensor data processing demonstration with hardware prototypes. Potential involvement in beam tests or radiation-source laboratory setups. Basic Qualifications: Ph.D. in Physics, Electrical Engineering
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environmental sensors and thermal cameras (UAV/IR). Comparative analysis of PV configurations: with vs. without vegetation. Studying dust deposition and its impact on energy performance. Analyzing meteorological
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developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms